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Vibration-Based Structural Health Monitoring in Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 March 2023) | Viewed by 6567

Special Issue Editors


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Guest Editor
Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8092 Zurich, Switzerland
Interests: finite element analysis; structural dynamics; model order reduction; system identification; structural health monitoring; nonlinear dynamics; computational mechanics; vibration analysis; bayesian inference; parametric methods

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Guest Editor
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4PY, UK
Interests: finite element analysis; modeling and simulation; optimization methods; computational mechanics

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Guest Editor
Department of Mechanical Engineering, University of Thessaly, 38221 Volos, Greece
Interests: uncertainty quantification in engineering science; probabilistic structural dynamics; structural identification; finite element model updating; structural health monitoring; optimal experimental design; structural reliability

Special Issue Information

Dear Colleagues,

The monitoring and subsequent tracking of structural health plays an essential role in the management of engineering systems. Within this context, a lot of emphasis has been placed upon vibration-based techniques, which emerge as a promising means for structural health monitoring, with applications in the condition assessment of fixed- and rotary-wing aircrafts and the predictive maintenance of long-span bridges or wind farms, among others. Given the current state of quantitative and principled methodologies, it is our pleasure to announce the publication of a Special Issue of the journal Materials under the theme of “Vibration-Based Structural Health Monitoring in Engineering”. This Special Issue aims to explore structural health monitoring via vibration-based approaches and applications in complex engineering systems. You are warmly invited to consider submitting your cutting-edge research for consideration. Some, but not all, areas of focus include:

  • Diagnosis and prognosis techniques;
  • Signal processing techniques;
  • Vibration-based structural health monitoring (SHM) systems;
  • Integration of non-destructive testing methods (e.g., guided waves, ground penetrating radar, acoustic emission, and thermography);
  • Application of sensors, smart materials, and wireless communication;
  • Monitoring of aging and durability, as well as structural renewal;
  • Development of bio-inspired sensing or multifunctional materials;
  • Integrated smart material systems and structures;
  • Application of material monitoring techniques for civil infrastructure.

Dr. Konstantinos Tatsis
Dr. Konstantinos Agathos
Prof. Dr. Costas Papadimitriou
Guest Editors

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Published Papers (3 papers)

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Research

20 pages, 3173 KiB  
Article
Development and Operation of Track Condition Monitoring System Using In-Service Train
by Hitoshi Tsunashima, Hironori Ono, Tetsuya Takata and Seigo Ogata
Appl. Sci. 2023, 13(6), 3835; https://doi.org/10.3390/app13063835 - 17 Mar 2023
Cited by 3 | Viewed by 2958
Abstract
Railway tracks must be managed appropriately because their conditions significantly affect railway safety. Safety is ensured through inspections by track maintenance staff and maintenance based on measurements using dedicated track geometry cars. However, maintaining regional railway tracks using conventional methods is becoming difficult [...] Read more.
Railway tracks must be managed appropriately because their conditions significantly affect railway safety. Safety is ensured through inspections by track maintenance staff and maintenance based on measurements using dedicated track geometry cars. However, maintaining regional railway tracks using conventional methods is becoming difficult because of their poor financial condition and lack of manpower. Therefore, a track condition diagnostic system is developed, wherein onboard sensing devices are installed on in-service vehicles, and the vibration acceleration of the car body is measured to monitor the condition of the track. In this study, we conduct long-term measurements using the system and evaluate changes in the track conditions over time using car-body vibration data. Filed test results showed that sections with degraded tracks were identified using car-body vibration data. The track degradation trend can be constructed using the results obtained. Furthermore, this study demonstrated that the track maintenance effect could be confirmed. A method for improving train position using the yaw angular velocity is proposed. The track irregularity position can be shown more clearly by monitoring the track condition using position-corrected data using the proposed method. It is also shown that the time-frequency analysis of measured car-body vertical acceleration is effective for evaluating the track condition more clearly. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring in Engineering)
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7 pages, 1486 KiB  
Communication
Implementation of Biomimicry for Detecting Composite Structure Damage Using Impedance-Based Non-Destructive Testing Method
by Yi-Seul Kim and Wongi S. Na
Appl. Sci. 2023, 13(2), 876; https://doi.org/10.3390/app13020876 - 9 Jan 2023
Cited by 4 | Viewed by 1247
Abstract
Up to date, biomimicry has aided in designing novel ideas and solving various problems in the field of civil engineering. For example, the concept of a load carrying process from a tree can be used to design an effective bridge. Inspired by nature, [...] Read more.
Up to date, biomimicry has aided in designing novel ideas and solving various problems in the field of civil engineering. For example, the concept of a load carrying process from a tree can be used to design an effective bridge. Inspired by nature, the authors have adopted the concept of how spiders use vibrations to monitor the state of the web and the presence of prey. A nondestructive testing method known as the electromechanical impedance technique has been proven to be effective when detecting local damage. However, the aforementioned technique uses a high frequency which results in a limited sensing range. Thus, to overcome this problem, an idea using the piezoelectric transducer combined with wires was introduced and tested against composite plates subjected to debonding damage. From the experiment results, the concept introduced from this research shows that biomimicry can increase the sensing range for electromechanical impedance technique which may allow one to create a monitoring system with minimal cost. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring in Engineering)
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25 pages, 7598 KiB  
Article
The Use of the Forced Frequency of a Bridge Due to a Truck Fleet for Estimating Stiffness Losses at Low Speed
by Arturo González, Kun Feng and Miguel Casero
Appl. Sci. 2022, 12(22), 11380; https://doi.org/10.3390/app122211380 - 9 Nov 2022
Cited by 5 | Viewed by 1955
Abstract
The influence of traffic loads on the dynamic features of a bridge is an external factor that can hinder the true condition of the structure. This paper aims to effectuate a shift in the way this factor is viewed. If the interaction between [...] Read more.
The influence of traffic loads on the dynamic features of a bridge is an external factor that can hinder the true condition of the structure. This paper aims to effectuate a shift in the way this factor is viewed. If the interaction between vehicle and bridge is modeled using the finite element method, the response is based on mass, stiffness, and damping matrices of a coupled vehicle-bridge system that vary with the location of the load at each point in time. The time-varying forced frequencies of a beam bridge model due to a fleet of 3-axle trucks based on eigenvalue analysis (i.e., derived from the matrices of the coupled system) are compared to those obtained using dynamic transient analysis (i.e., derived from the frequency content of the acceleration response of the beam due to a truck crossing). Truck properties are randomly varied within a realistic range to obtain a pattern for the forced vibration due to a truck fleet traveling at an ideal speed of 1 m/s on a 15 m bridge with a smooth surface, and at 10 m/s on a 30 m bridge. These patterns reveal a trend that allows for locating and quantifying the stiffness loss associated with a crack using only the forced frequency. The implementation of this methodology requires the installation of accelerometers on the bridge, and a nearby weigh-in-motion system to identify the traffic fleet of interest. High requirements for frequency resolution limit the application to bridges located on low speed routes. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring in Engineering)
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